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Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method
PURPOSE: A method of evaluating central visual field (VF) progression in eyes with retinitis pigmentosa (RP) has still to be established. We previously reported the potential merit of applying a binomial test to pointwise linear regression (binomial PLR) in glaucoma progression. In the current study...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590177/ https://www.ncbi.nlm.nih.gov/pubmed/34757391 http://dx.doi.org/10.1167/tvst.10.13.15 |
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author | Asano, Shotaro Oishi, Akio Asaoka, Ryo Fujino, Yuri Murata, Hiroshi Azuma, Keiko Miyata, Manabu Obata, Ryo Inoue, Tatsuya |
author_facet | Asano, Shotaro Oishi, Akio Asaoka, Ryo Fujino, Yuri Murata, Hiroshi Azuma, Keiko Miyata, Manabu Obata, Ryo Inoue, Tatsuya |
author_sort | Asano, Shotaro |
collection | PubMed |
description | PURPOSE: A method of evaluating central visual field (VF) progression in eyes with retinitis pigmentosa (RP) has still to be established. We previously reported the potential merit of applying a binomial test to pointwise linear regression (binomial PLR) in glaucoma progression. In the current study, we investigated the usefulness of binomial PLR in eyes with RP. METHODS: A series of 10 VFs (VF 1–10, Humphrey field analyzer, 10-2 test) from 196 eyes of 103 patients with RP were collected retrospectively. The PLR was performed by regressing the total deviation of all test points with the complete series of 10 VFs. The accuracy (positive predictive value, negative predictive value, and false-positive rate) and the time required to detect VF progression with shorter VF series (from VF 1–5 to VF 1–9) were compared across the binomial PLR, a permutation analysis of PLR (PoPLR), and a mean deviation (MD) trend analysis. RESULTS: In evaluating VF progression, the binomial PLR was comparable with the PoPLR and MD trend analyses in its positive predictive value (0.55 to 0.95), negative predictive value (0.67 to 0.92), and false-positive rate (0.01 to 0.05). The binomial PLR required significantly less time to detect VF progression (5.0 ± 2.0 years) than the PoPLR and MD trend analyses (P < 0.01, P < 0.001, respectively). CONCLUSIONS: The application of a binomial PLR achieved reliable and earlier detection of central VF progression in eyes with RP. TRANSLATIONAL RELEVANCE: A binomial PLR was useful in assessing VF progression in RP. |
format | Online Article Text |
id | pubmed-8590177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-85901772021-11-24 Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method Asano, Shotaro Oishi, Akio Asaoka, Ryo Fujino, Yuri Murata, Hiroshi Azuma, Keiko Miyata, Manabu Obata, Ryo Inoue, Tatsuya Transl Vis Sci Technol Article PURPOSE: A method of evaluating central visual field (VF) progression in eyes with retinitis pigmentosa (RP) has still to be established. We previously reported the potential merit of applying a binomial test to pointwise linear regression (binomial PLR) in glaucoma progression. In the current study, we investigated the usefulness of binomial PLR in eyes with RP. METHODS: A series of 10 VFs (VF 1–10, Humphrey field analyzer, 10-2 test) from 196 eyes of 103 patients with RP were collected retrospectively. The PLR was performed by regressing the total deviation of all test points with the complete series of 10 VFs. The accuracy (positive predictive value, negative predictive value, and false-positive rate) and the time required to detect VF progression with shorter VF series (from VF 1–5 to VF 1–9) were compared across the binomial PLR, a permutation analysis of PLR (PoPLR), and a mean deviation (MD) trend analysis. RESULTS: In evaluating VF progression, the binomial PLR was comparable with the PoPLR and MD trend analyses in its positive predictive value (0.55 to 0.95), negative predictive value (0.67 to 0.92), and false-positive rate (0.01 to 0.05). The binomial PLR required significantly less time to detect VF progression (5.0 ± 2.0 years) than the PoPLR and MD trend analyses (P < 0.01, P < 0.001, respectively). CONCLUSIONS: The application of a binomial PLR achieved reliable and earlier detection of central VF progression in eyes with RP. TRANSLATIONAL RELEVANCE: A binomial PLR was useful in assessing VF progression in RP. The Association for Research in Vision and Ophthalmology 2021-11-10 /pmc/articles/PMC8590177/ /pubmed/34757391 http://dx.doi.org/10.1167/tvst.10.13.15 Text en Copyright 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Article Asano, Shotaro Oishi, Akio Asaoka, Ryo Fujino, Yuri Murata, Hiroshi Azuma, Keiko Miyata, Manabu Obata, Ryo Inoue, Tatsuya Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title | Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title_full | Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title_fullStr | Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title_full_unstemmed | Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title_short | Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method |
title_sort | detecting progression of retinitis pigmentosa using the binomial pointwise linear regression method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590177/ https://www.ncbi.nlm.nih.gov/pubmed/34757391 http://dx.doi.org/10.1167/tvst.10.13.15 |
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